A STUDY ON EMERGING TRENDS AND ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE FOR OPTIMIZING LOGISTICS AND SUPPLY CHAIN MANAGEMENT
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A STUDY ON EMERGING TRENDS AND ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE FOR OPTIMIZING LOGISTICS AND SUPPLY CHAIN MANAGEMENT
Dr.Shyamaladevi.E1, Nivetha V2
1Assistant Professor, Department of International Business, PSG College of Arts & Science, Coimbatore, Tamil Nadu, India,
2II-year M.Com International Business, PSG College of Arts & Science
1Shyamaladevi@psgcas.ac.in , 2nivirsk0203@gmail.com
Abstract: This study looks at how and logistics supply chain management (SCM) are affected by artificial intelligence (AI). Predictive analytics, machine learning, and automation are examples of AI technologies that improve operations, increasing productivity and cutting expenses. According to the study, there have been notable advancements in last-mile delivery, inventory control, route planning, and forecasting that have improved consumer satisfaction. Adoption of AI has many advantages, but there are still issues with data security, implementation costs, and technology constraints. Job experience and opinions on AI's ability to lower human mistake rates did not significantly correlate, highlighting the necessity of targeted AI training initiatives. AI adoption levels are influenced by infrastructure, industry type and years of operation. Organizations should invest in cutting-edge AI technologies, develop workforce competencies, and set up robust data management systems in order to fully realize AI's promise.
Key words: Logistics, Artificial Intelligence, Supply chain management, Machine Learning, Automation.
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